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Transactions of the Institute of Systems, Control and Information Engineers
Vol. 38 (2025), No. 4

Transactions of the Institute of Systems, Control and Information Engineers Vol. 38 (2025), No. 4

ONLINE ISSN:	2185-811X
PRINT ISSN:	1342-5668
Publisher:	THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)

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Vol. 38 (2025)
1. No.4
2. No.3
3. No.2
4. No.1
Vol. 37 (2024)
1. No.12
2. No.11
3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
8. No.5
9. No.4
10. No.3
11. No.2
12. No.1
Vol. 36 (2023)
1. No.12
2. No.11
3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
8. No.5
9. No.4
10. No.3
11. No.2
12. No.1
Vol. 35 (2022)
1. No.12
2. No.11
3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
8. No.5
9. No.4
10. No.3
11. No.2
12. No.1
Vol. 34 (2021)
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3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
8. No.5
9. No.4
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12. No.1
Vol. 33 (2020)
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3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
8. No.5
9. No.4
10. No.3
11. No.2
12. No.1
Vol. 32 (2019)
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2. No.11
3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
8. No.5
9. No.4
10. No.3
11. No.2
12. No.1
Vol. 31 (2018)
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2. No.11
3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
8. No.5
9. No.4
10. No.3
11. No.2
12. No.1
Vol. 30 (2017)
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3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
8. No.5
9. No.4
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12. No.1
Vol. 29 (2016)
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4. No.9
5. No.8
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7. No.6
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9. No.4
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12. No.1
Vol. 28 (2015)
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3. No.10
4. No.9
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Vol. 27 (2014)
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Vol. 26 (2013)
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3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
8. No.5
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Vol. 25 (2012)
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4. No.9
5. No.8
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Vol. 24 (2011)
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3. No.10
4. No.9
5. No.8
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Vol. 23 (2010)
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3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
8. No.5
9. No.4
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12. No.1
Vol. 22 (2009)
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3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
8. No.5
9. No.4
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12. No.1
Vol. 21 (2008)
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4. No.9
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12. No.1
Vol. 20 (2007)
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4. No.9
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Vol. 19 (2006)
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3. No.10
4. No.9
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6. No.7
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Vol. 18 (2005)
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5. No.8
6. No.7
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12. No.1
Vol. 16 (2003)
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3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
8. No.5
9. No.4
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Vol. 15 (2002)
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2. No.11
3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
8. No.5
9. No.4
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Vol. 14 (2001)
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3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
8. No.5
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12. No.1
Vol. 13 (2000)
1. No.12
2. No.11
3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
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12. No.1
Vol. 12 (1999)
1. No.12
2. No.11
3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
8. No.5
9. No.4
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12. No.1
Vol. 11 (1998)
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2. No.11
3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
8. No.5
9. No.4
10. No.3
11. No.2
12. No.1
Vol. 10 (1997)
1. No.12
2. No.11
3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
8. No.5
9. No.4
10. No.3
11. No.2
12. No.1
Vol. 9 (1996)
1. No.12
2. No.11
3. No.10
4. No.9
5. No.8
6. No.7
7. No.6
8. No.5
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11. No.2
12. No.1
Vol. 8 (1995)
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2. No.11
3. No.10
4. No.9
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6. No.7
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12. No.1
Vol. 7 (1994)
1. No.12
2. No.11
3. No.10
4. No.9
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6. No.7
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8. No.5
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10. No.3
11. No.2
12. No.1
Vol. 6 (1993)
1. No.12
2. No.11
3. No.10
4. No.9
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10. No.3
11. No.2
12. No.1
Vol. 5 (1992)
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3. No.10
4. No.9
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6. No.7
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9. No.4
10. No.3
11. No.2
12. No.1
Vol. 4 (1991)
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3. No.10
4. No.9
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6. No.7
7. No.6
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9. No.4
10. No.3
11. No.2
12. No.1
Vol. 3 (1990)
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3. No.10
4. No.9
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6. No.7
7. No.6
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10. No.3
11. No.2
12. No.1
Vol. 2 (1989)
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9. No.4
10. No.3
11. No.2
12. No.1
Vol. 1 (1988)
1. No.7
2. No.6
3. No.5
4. No.4
5. No.3
6. No.2
7. No.1

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pp. 53-62

DOI:

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Low-Cost, Explainable and Scalable Classification of Multi-View Images through Normalized Product of Multivariate Gaussian Distributions

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Transactions of the Institute of Systems, Control and Information Engineers Vol. 38 (2025), No. 4

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hot dip aluminising

blast furnace

加炭

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shear stress distribution

statistical features of complex systems

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Transactions of the Institute of Systems, Control and Information Engineers Vol. 38 (2025), No. 4

Low-Cost, Explainable and Scalable Classification of Multi-View Images through Normalized Product of Multivariate Gaussian Distributions

Share it with SNS

Clustering-based Approach to Controller Synthesis with Deep Neural Networks

Share it with SNS

Enhancement of Automatic Building Region Extraction Using Deep Neural Network

Share it with SNS

Article Access Ranking

Perspectives on the Promising Pathways to Zero Carbon Emissions in the Steel Industry toward 2050

Copper removal of liquid steel containing 0.25 % carbon using Fe₂O₃-CaCl₂-SiO₂ flux

Effect of BN surface segregation on coatability in hot-dip galvanizing of B-added steel

Factors affecting generation of iron fines in cold sheet rolling of steel

Growth, Removal, and Agglomeration of Various Type of Oxide Inclusions in Molten Steel

Effect of Deoxidizer Addition Sequence on Cleanliness of Al-killed and S-containing Steel: Industrial Trials and Thermodynamic Analysis

First-principles estimation of effect of solute atoms on hydrogen penetration from (100) surface in alpha iron: a rudimentary study of inhibitor elements

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Transactions of the Institute of Systems, Control and Information Engineers Vol. 38 (2025), No. 4

Keyword Ranking

hot dip aluminising

blast furnace

加炭

desulpherization caf2

olac

shear stress distribution

statistical features of complex systems

statistical features of complex systems kuninaka

ushio

トーピード

Transactions of the Institute of Systems, Control and Information Engineers Vol. 38 (2025), No. 4

Low-Cost, Explainable and Scalable Classification of Multi-View Images through Normalized Product of Multivariate Gaussian Distributions

Share it with SNS

Clustering-based Approach to Controller Synthesis with Deep Neural Networks

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Perspectives on the Promising Pathways to Zero Carbon Emissions in the Steel Industry toward 2050

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Effect of BN surface segregation on coatability in hot-dip galvanizing of B-added steel

Factors affecting generation of iron fines in cold sheet rolling of steel

Growth, Removal, and Agglomeration of Various Type of Oxide Inclusions in Molten Steel

Effect of Deoxidizer Addition Sequence on Cleanliness of Al-killed and S-containing Steel: Industrial Trials and Thermodynamic Analysis

First-principles estimation of effect of solute atoms on hydrogen penetration from (100) surface in alpha iron: a rudimentary study of inhibitor elements

Progress of Hot Metal Treatment Technology and Future Outlook

Surface Cracking in Hot Rolling Process of Cu Bearing Steel Bar

Integrated Steelworks that Reduce CO2 Emissions by More Than 80% — Challenge for Carbon-Neutral Integrated Steelworks —

Advanced Search

Copper removal of liquid steel containing 0.25 % carbon using Fe₂O₃-CaCl₂-SiO₂ flux

Integrated Steelworks that Reduce CO₂ Emissions by More Than 80% — Challenge for Carbon-Neutral Integrated Steelworks —